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Voidly Hosted MCP

get_prediction_track_record

Read-only

Public prediction track record across Voidly forecast products — hits, misses, and honest baselines.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds that results are public and that baselines are included ('honest baselines'), which is useful framing, but it says nothing about freshness, coverage window, or how misses are defined.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single compact sentence with no waste, front-loading the subject (track record) before the scope detail. It is a noun phrase rather than a full statement of action, which slightly weakens the lead.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter read-only tool with annotations covering the safety profile and no output schema, the definition is minimally sufficient. It never indicates what a record entry contains or over what period, so an agent cannot preview the shape of the answer.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is no parameter semantics to explain; baseline 4 applies. The description correctly signals that the result is unfiltered across all forecast products.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific resource and scope: a public prediction track record spanning Voidly forecast products, explicitly covering hits, misses, and baselines. An agent can tell it apart from the many forecast tools (get_risk_forecast, get_multi_horizon_forecast) because it is retrospective scoring rather than a forward-looking forecast, though no sibling is named explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance, no exclusions, and no named alternative. The word 'public' hints that no authentication is required, but nothing tells the agent when to reach for this versus the forecast tools it complements.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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